AI for Business
Apply AI to enhance business analytics with no prior background required
3 months
Beginner
Requirements
What you’ll be able to do
Tools you'll learn
Curriculum
2 Modules · 6 Sprints01AI Literacy3 sprints
01AI Literacy3 sprints
Introduction to AI
Understand what AI really is (and isn’t) so you can use it confidently in your job:
Distinguish between different types of AI and common business use cases
Understand how large language models (LLMs) are trained and where their limitations come from
Spot the differences between AI-generated and human-created content
Apply basic security, privacy, and compliance rules when using AI at work
Build healthy habits for using AI sustainably (avoiding over-reliance and burnout)
Prompting for Best Outcomes
Learn how to “talk” to AI tools so they deliver useful, reliable outputs:
Compare different AI tools and models (ChatGPT, Claude, Gemini) and choose the right one for a task
Use prompt and context engineering to give AI clear goals, constraints, and examples
Spot and handle hallucinations with verification techniques
Understand advanced concepts like retrieval-augmented generation (RAG), instruction dilution, and model context
Build reusable prompt templates for repeated business tasks
AI for Media & Content Creation
Explore how AI can help you create visuals, presentations, and multimedia content for business:
Generate and refine images with AI tools and describe visual styles clearly
Use AI to brainstorm, outline, and build presentations that are clear and persuasive
Work with AI for voice, audio, and basic video content
Understand limitations such as poor text rendering, inconsistent branding, and style drift
Evaluate risks around deepfakes, impersonation, and copyright
02AI Applications in Business3 sprints
02AI Applications in Business3 sprints
AI for Productivity & Spreadsheets
Turn AI into a practical assistant for your everyday tasks, especially data and reporting:
Map AI use cases across industries (commerce, operations, customer support, finance, etc.)
Use AI meeting assistants (Fireflies.ai, Notta.ai) to capture, summarize, and action meeting notes
Clean and transform data tables with AI support for clearer insights
Combine AI with tools like Grammarly to write and proofread faster and more clearly
Use AI search and verification techniques to avoid misinformation
Automations with No-Code Tools
Learn how to connect tools together so work moves automatically:
Understand the basics of automation and when it creates value in a business
Use tools like n8n or Zapier to connect apps (email, CRM, spreadsheets, forms, etc.)
Design AI-enhanced flows that can summarize, tag, or route information automatically
Work with advanced nodes for branching logic, delays, and error handling
Build simple websites or web apps using no-code builders (Hostinger Horizon, Firebase, Lovable.ai)
Prototype, test, and iterate on automated workflows
Python Programming with AI
Get a gentle, hands-on introduction to Python with the support of AI coding assistants so you can understand and participate in more technical workflows:
Work comfortably in notebook environments (e.g. Jupyter) for data and automation tasks
Use AI coding assistants (GitHub Copilot or Claude Code) to generate, debug, and explain code
Understand the idea and limits of “vibecoding” — relying heavily on generative AI
Write and run simple Python scripts for tasks like data cleaning, file processing, or basic analysis
Read and adapt existing code snippets you may receive from AI tools or colleagues